Function save_model

scripts/classifier_train.py:176–182

(mp_trainer, opt, step)

def save_model(mp_trainer, opt, step):
    if dist.get_rank() == 0:
        th.save(
            mp_trainer.master_params_to_state_dict(mp_trainer.master_params),
            os.path.join(logger.get_dir(), f"model{step:06d}.pt"),
        )
        th.save(opt.state_dict(), os.path.join(logger.get_dir(), f"opt{step:06d}.pt"))


def compute_top_k(logits, labels, k, reduction="mean"):